0bps

Strategy vault / Mean reversion

BB RSI ADX Entry Points

This is a combination of indicators used to find oversold and overbought entry points for possible reversion. A Green arrow will appear when all condition are met for an ENTER LONG position. A Red arow will appear…

Author
ChaoZhang
Complexity
Intermediate · 83 lines
Parameters
14
Backtest bar
1h · intraday
Tested on
BTC/USDT · futures

This is a combination of indicators used to find oversold and overbought entry points for possible reversion.

A Green arrow will appear when all condition are met for an ENTER LONG position. A Red arow will appear when all condition are met for an ENTER SHORT position.

You can modify all of these condition parameters from the indicator's settings.

How does the indicator work The signals are using Bollinger Bands, BB %B, RSI and ADX indicators to try and find points of reversal

Enter LONG Conditions Current candle low is below BB lower band. The BB %B is more than 0. RSI > 30 ADX > 25

Enter SHORT Conditions Current candle high is above BB upper band. The BB %B is less than 1. RSI < 70 ADX > 25

Those are the default settings that seem to work for me but you can customize all of these from the indicator settings. I find this strategy to best work on a 3 minute timeframe

Note: The bb %B is calculated for stDev - 1. This will help you see a change happening faster.

backtest

IMG

Parameters

NameDefaultWhat it controls
v_input_int_19(?BB Settings)BB Length
v_input_1_close0Source: close | high | low | open | hl2 | hlc3 | hlcc4 | ohlc4
v_input_float_12StdDev
v_input_int_214(?RSI Settings)RSI Length
v_input_source_1_close0Source: close | high | low | open | hl2 | hlc3 | hlcc4 | ohlc4
v_input_214(?ADX Settings)ADX Smoothing
v_input_314ADX DI Length
v_input_725ADX Min Strength
v_input_4false(?Enter LONG Conditions)Minimum BB %B
v_input_530MIN RSI
v_input_650MAX RSI
v_input_8true(?Enter SHORT Conditions)Highest BB %B
v_input_950MIN RSI
v_input_1070MAX RSI

Source Pine Script

/*backtest
start: 2022-04-10 00:00:00
end: 2022-05-09 23:59:00
period: 1h
basePeriod: 15m
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/

//@version=5
indicator(shorttitle="BB-RSI-ADX", title="BB-RSI-ADX Entry Points", overlay=true, timeframe="", timeframe_gaps=true)

// Bollinger Bands Setup
bbLength = input.int(9, minval=1, title="BB Length", group="BB Settings")
src = input(close, title="Source", group="BB Settings")
stDev = input.float(2.0, minval=0.001, maxval=50, title="StdDev", group="BB Settings")
basis = ta.sma(src, bbLength)
dev = stDev * ta.stdev(src, bbLength)
devMinOne = (stDev > 1 ? stDev - 1 : 1) * ta.stdev(src, bbLength)
upper = basis + dev
lower = basis - dev
upperMinOne = basis + devMinOne
lowerMinOne = basis - devMinOne

plot(basis, "Basis", color=#FF6D00)
p1 = plot(upper, "BB  Upper", color=#2962FF)
p2 = plot(lower, "BB Lower", color=#2962FF)
fill(p1, p2, title = "BB Background", color=color.rgb(33, 150, 243, 95))

// BB width %B
bbr = (src - lowerMinOne)/(upperMinOne - lowerMinOne)

// RSI
rsiLengthInput = input.int(14, minval=1, title="RSI Length", group="RSI Settings")
rsiSourceInput = input.source(close, "Source", group="RSI Settings")
rsiUp = ta.rma(math.max(ta.change(rsiSourceInput), 0), rsiLengthInput)
rsiDown = ta.rma(-math.min(ta.change(rsiSourceInput), 0), rsiLengthInput)
rsi = rsiDown == 0 ? 100 : rsiUp == 0 ? 0 : 100 - (100 / (1 + rsiUp / rsiDown))

// ADX
adxlen = input(14, title="ADX Smoothing", group="ADX Settings")
dilen = input(14, title="ADX DI Length", group="ADX Settings")
dirmov(len) =>
	up = ta.change(high)
	down = -ta.change(low)
	plusDM = na(up) ? na : (up > down and up > 0 ? up : 0)
	minusDM = na(down) ? na : (down > up and down > 0 ? down : 0)
	truerange = ta.rma(ta.tr, len)
	plus = fixnan(100 * ta.rma(plusDM, len) / truerange)
	minus = fixnan(100 * ta.rma(minusDM, len) / truerange)
	[plus, minus]
adx(dilen, adxlen) =>
	[plus, minus] = dirmov(dilen)
	sum = plus + minus
	adx = 100 * ta.rma(math.abs(plus - minus) / (sum == 0 ? 1 : sum), adxlen)
adxStr = adx(dilen, adxlen)

// Entry condition inputs
c_enter_long_bbr = input(0, title="Minimum BB %B", group="Enter LONG Conditions", tooltip="The Minimum required BB %B required to enter a LONG position. RECOMMENDED: 0")
c_enter_long_rsi_min = input(30, title="MIN RSI", group="Enter LONG Conditions", tooltip="The Minimum RSI value to enter a LONG position. RECOMMENDED: 30", inline="rsi_long")
c_enter_long_rsi_max = input(50, title="MAX RSI", group="Enter LONG Conditions", tooltip="The Maximum RSI value to enter a LONG position. RECOMMENDED: 50", inline="rsi_long")
c_adx_min_str = input(25, title="ADX Min Strength", group="ADX Settings")

c_enter_short_bbr = input(1, title="Highest BB %B", group="Enter SHORT Conditions", tooltip="The Highest required BB %B required to enter a SHORT position. RECOMMENDED: 1")
c_enter_short_rsi_min = input(50, title="MIN RSI", group="Enter SHORT Conditions", tooltip="The Minimum RSI value to enter a SHORT position. RECOMMENDED: 50", inline="rsi_short")
c_enter_short_rsi_max = input(70, title="MAX RSI", group="Enter SHORT Conditions", tooltip="The Maximum RSI value to enter a SHORT position. RECOMMENDED: 70", inline="rsi_short")

// Enter Long Conditions
enter_long = (low < lower) and (bbr > c_enter_long_bbr) and (rsi > c_enter_long_rsi_min) and (rsi < c_enter_long_rsi_max) and (adxStr > c_adx_min_str)  ? 1 : 0
// Enter Short Conditions
enter_short = (high > upper) and (bbr < c_enter_short_bbr) and (rsi > c_enter_short_rsi_min) and (rsi < c_enter_short_rsi_max) and (adxStr > c_adx_min_str)  ? -1 : 0


//plotarrow(enter_long, maxheight=10)    

//plotarrow(enter_short, maxheight=10)    




if enter_long
    strategy.entry("Enter Long", strategy.long)
else if enter_short
    strategy.entry("Enter Short", strategy.short)

Published by ChaoZhang on the FMZ strategy square · last modified 2022-05-11. Collected in the Quant Trading Vault. Unvalidated research: re-test with your own data and costs before trusting it.

Build this with AgenKit

A spec is not a trading system. Paste this into your coding agent and AgenKit runs a specialist team — architecture, test-first build, risk gates, review — with paper trading on by default.

in Claude Code, Cursor, Codex & 4 more
/agenkit build a production-grade trading bot with a backtest engine, risk controls and paper trading by default from strategies/BB-RSI-ADX-Entry-Points.md
  1. npx agenkit install engineering-kit in your project
  2. Paste the command into your agent and approve each phase
  3. Get tests, backtest, risk controls and a paper-trading switch

Understand it first

Before you run this, read the lesson behind the idea and how to backtest it honestly. Specs like this one are the survivors of an unknown number of trials; deflate their results accordingly.

Related specs

esc

Try , , or .

↑↓ move↵ open